omnisafe
Safe RL framework
A framework designed to accelerate the development of safe reinforcement learning algorithms by providing a modular, high-performance platform for parallel computing and out-of-box toolkits.
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
939 stars
39 watching
132 forks
Language: Python
last commit: about 1 month ago
Linked from 1 awesome list
benchmarkconstraint-rlconstraint-satisfaction-problemdeep-learningdeep-reinforcement-learningmachine-learningpytorchreinforcement-learningsafe-reinforcement-learningsafe-rlsaferlsafety-criticalsafety-gymsafety-gymnasium
Related projects:
Repository | Description | Stars |
---|---|---|
pku-alignment/safety-gymnasium | A unified benchmark for safe reinforcement learning algorithms and environments. | 394 |
matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 7 |
sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 497 |
luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 722 |
iffix/machin | An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 401 |
kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,585 |
layssi/carla_ray_rlib | An open-source reinforcement learning framework for autonomous driving tasks using the Carla-Simulator environment and Ray/Rllib libraries. | 35 |
kunqian2025/reinforcement-learning | A collection of implementations of reinforcement learning algorithms in MATLAB | 60 |
astooke/rlpyt | A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,232 |
toni-sm/skrl | A modular reinforcement learning library with support for various environments and frameworks | 560 |
horizonrobotics/alf | A reinforcement learning framework designed to implement complex algorithms with flexibility and ease of use | 302 |
enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 265 |
securitygames/oef | Provides tools and algorithms for developing reinforcement learning policies in game environments. | 3 |
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
ai-secure/crfl | This project presents a framework for robust federated learning against backdoor attacks. | 71 |